搜索资源列表
TK1.2-ARG0vsARG1.tar
- SVM分类器是一个很好的中文信息处理工具,不错的很好的东西
SVM
- SVM算法matlab程序,包括分类和回归.值得一看
svm.rar
- 中文文本分类,应用SVM对中文文本进行分类,具有高性能,Chinese text classification, applications to the Chinese version of SVM for classification, with high-performance
chinese-text
- 文本分类语料库,经过编辑手工整理与分类的新闻语料与对应的分类信息。其分类体系包括几十个分类节点,网页规模约为十万篇文档-Text classification corpus, edited manually compiled and classification of news corpus and the corresponding classification information. Their classification system includes dozens of classi
MatlabSVM
- 基于Matlab的SVM模式分类方法的实验系统,有仿真实验,有举例说明,可用于参考-Matlab-based classification method of SVM model experimental systems, there are simulation results, there are examples, can be used for reference
svmhmm
- svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature v
svmmatlab
- matlab开发的SVM分类器,用于学习研究-svm ,classify,matlab
webcat
- 这是一个100 %纯Java库,您可以使用适用于N元 分析技术的过程分为文本文件。 该计划包括几个不同的分类算法, namelly 支持向量机,贝叶斯Logistic回归,神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归,一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项,请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gr
Test Class By SVM
- 支持向量机实现的文本分类程序,过程如下,首先使用分词工具分词,这里使用的是计算所的分词工具,从而保证分词是最优秀的,接下来使用国际效率最高的文本IFIDF向量生成工具生成文本相量,最后使用台湾林智恒的效率最高的SVM实现软件包libsvm实现训练和分类,可以这么说,该文本分类是同类中效率最高最准确的-text classfication source code use 3 technology.words sementation,vector gerneration,and libsvm too
SVM
- SVM分类器,针对语音信号的分类识别应用。内容非常多,大家可以筛选着利用。-SVMclassification
SVMPlugin_1_0
- SVM分类,算法,代码 -SVM classification algorithm, the code
mfccPSVM
- 本实例程序是基于matlab的语音识别程序,通过提取传统的MFCC特征集,采用当前流行的SVM分类器,作为对比实验是一个不错的选择。-This example program is popular SVM classifier matlab speech recognition program to extract MFCC feature set, as a comparative experiment is a good choice.
matlab-SVM
- SVM分类程序,可进行多分类,可直接在MATLAB平台上运行,已试过-SVM classification procedure, the multi-classification
svm-GUI
- 能够实现支持向量机的界面操作,支持向量机比神经网络功能强大,能够实现分类和识别-Support vector machine (SVM) to realize the interface operation, support vector machine (SVM) is a powerful than neural network, which can achieve the classification and recognition
Test
- 非常好的5倍交叉验证的程序,可以进行svm分类,推荐大家使用,非常好的-Very good 5-fold cross-validation procedure, svm classification, we recommend using the very good
svm-based-tone-recognition
- 基于svm分类器的汉语声调识别,实现了对声调四声的识别,纯净语音识别率100 ,噪声环境下识别率90 -The svm classifier based Chinese tone recognition, the four tones of tone recognition, the pure voice recognition rate of 100 , 90 recognition rate in noisy environments
data-classification-by-SVM-
- 使用支持向量机进行数据的分类预测,所需样本数据较少,且预测精度高,分类效果较好。-Using support vector machines for data classification prediction, requires less sample data, and predict high precision, classification better.
BP.SVM
- 这是遗传算法优化支持向量机代码。用于matlab分类应用-This is a genetic algorithm optimization support vector machine code. Applications for classification matlab
svm
- SVM神经网络的数据分类预测-葡萄酒种类识别,能够很好地预测葡萄酒种类。-SVM neural network data classification prediction- wine species identification, can be a good predictor of wine types.
mfcc_svm
- mfcc特征提取法 以及svm训练 可以使用(MFCC feature extraction method and SVM training can be used)